A task scheduling policy for heterogeneous MapReduce cluster

Chui Ming Chiu, Sheng Wei Huang, Tzu Chi Huang, Ce Kuen Shieh, Ming Fong Tsai, Lien Wu Chen

研究成果: Conference contribution

摘要

MapReduce is a programming model and its associated run-time system proposed in 2004, which can process large scale of data in clusters with simple program logic. MapReduce has a potential problem running on a cooperative cluster which is combined with machines having different configurations. The problem will cause unexpected performance degradations and should be avoided. In this paper, a task scheduling policy is proposed to take higher utilization of all computing nodes in heterogeneous clusters.

原文English
主出版物標題Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014
編輯William Cheng-Chung Chu, Stephen Jenn-Hwa Yang, Han-Chieh Chao
發行者IOS Press
頁面420-429
頁數10
ISBN(電子)9781614994831
DOIs
出版狀態Published - 2015 一月 1
事件International Computer Symposium, ICS 2014 - Taichung, Taiwan
持續時間: 2014 十二月 122014 十二月 14

出版系列

名字Frontiers in Artificial Intelligence and Applications
274
ISSN(列印)0922-6389

Other

OtherInternational Computer Symposium, ICS 2014
國家Taiwan
城市Taichung
期間14-12-1214-12-14

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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